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5 in 30 (Cognitive bias, more metabolics, electromembranes and fentalogs)

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Manage episode 455952129 series 2465165
Content provided by The International Association of Forensic Toxicologists (TIAFT). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The International Association of Forensic Toxicologists (TIAFT) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

We look at 5 recent publications in the field of toxicology.

  1. Ning He, et al. Contextual bias in forensic toxicology decisions: A follow-up empirical study from China. (2024) Journal of Forensic Sciences, doi: 10.1111/1556-4029.15520.
  2. Kesmen, E. et al. Bioinformatics-driven untargeted metabolomic profiling for clinical screening of methamphetamine abuse. (2024) Forensic Toxicology, doi: 10.1007/s11419-024-00703-2.
  3. Schuller, M. et al. Electromembrane extraction of drugs of abuse and prescription drugs from micropulverized hair. (2024) Journal of Analytical Toxicology, doi: 10.1093/jat/bkae051.
  4. Schackmuth, M. et al. Identification of fentanyl analogs and potential biomarkers in urine using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and liquid chromatography-quadrupole/time of flight mass spectrometry (LC-Q/TOF-MS). (2024) Journal of Chromatography B, doi: 10.1016/j.jchromb.2024.124303.
  5. Trobbiani, S. et al. Increasing the linear dynamic range in LC-MS: is it valid to use a less abundant isotopologue? (2017) Drug Testing and Analysis, doi: 10.1002/dta.2175

You can try out NotebookLM yourself at https://notebooklm.google/
Contact us at [email protected]
Find out more about TIAFT at www.tiaft.org
The Toxpod is a production of The International Association of Forensic Toxicologists. The opinions expressed by the hosts are their own and do not necessarily reflect the views of TIAFT or their employers.

You can send us a text message using this link!

  continue reading

81 episodes

Artwork
iconShare
 
Manage episode 455952129 series 2465165
Content provided by The International Association of Forensic Toxicologists (TIAFT). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The International Association of Forensic Toxicologists (TIAFT) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

We look at 5 recent publications in the field of toxicology.

  1. Ning He, et al. Contextual bias in forensic toxicology decisions: A follow-up empirical study from China. (2024) Journal of Forensic Sciences, doi: 10.1111/1556-4029.15520.
  2. Kesmen, E. et al. Bioinformatics-driven untargeted metabolomic profiling for clinical screening of methamphetamine abuse. (2024) Forensic Toxicology, doi: 10.1007/s11419-024-00703-2.
  3. Schuller, M. et al. Electromembrane extraction of drugs of abuse and prescription drugs from micropulverized hair. (2024) Journal of Analytical Toxicology, doi: 10.1093/jat/bkae051.
  4. Schackmuth, M. et al. Identification of fentanyl analogs and potential biomarkers in urine using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and liquid chromatography-quadrupole/time of flight mass spectrometry (LC-Q/TOF-MS). (2024) Journal of Chromatography B, doi: 10.1016/j.jchromb.2024.124303.
  5. Trobbiani, S. et al. Increasing the linear dynamic range in LC-MS: is it valid to use a less abundant isotopologue? (2017) Drug Testing and Analysis, doi: 10.1002/dta.2175

You can try out NotebookLM yourself at https://notebooklm.google/
Contact us at [email protected]
Find out more about TIAFT at www.tiaft.org
The Toxpod is a production of The International Association of Forensic Toxicologists. The opinions expressed by the hosts are their own and do not necessarily reflect the views of TIAFT or their employers.

You can send us a text message using this link!

  continue reading

81 episodes

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